Data Analytics Manager - Global Network Analytics - Payments
About the role
The role plays a critical part in project execution and delivery for the Global Network Analytics team within the Global Payment Network (GPN) business. The GNA department provides analytical solutions to payment businesses covering the whole lifecycle of participant management.
Responsibilities
- Drive current and future strategy by leveraging analytical skills
- Aid in building and using models to test and validate data
- Work with vast amounts of data in new and evolving environments
- Be a part of growing and developing our brand in new and emerging markets
- Leverage analytics to create a customer experience above our peers
- Collaborate across business units
- Work with top talent in a fast-paced, entrepreneurial environment
- Handle multiple concurrent projects while working independently and in teams
- Handle a strong Business Intelligence component
Requirements
- Currently has, or is in the process of obtaining a Bachelor’s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 6 years of experience performing data analytics
- Master’s Degree plus at least 4 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date
- At least 4 years of experience performing professional data analysis work
Qualifications
- Basic Qualifications: Bachelor’s Degree in quantitative field plus 6+ years of experience, or Master’s Degree plus 4+ years of experience
- Preferred Qualifications: Master’s Degree in a Science, Technology, Engineering, Mathematics discipline, 7+ years of professional data analysis work experience, 4+ years of experience with Python, R, Spark or SQL, 1 year of experience in people management, 1 year of project management experience, 1 year of experience in Tableau, Proficient utilizing and developing within AWS service
Skills
On any given day you will be: Mining data to arrive at specific and crucial information for the organization, Identifying and implementing process, data, and reporting improvements for the organization, Working with large and complex databases containing millions to billions of records, Improving operational efficiencies and effectiveness, Conducting analysis to evaluate processes and tests, Extracting and analyzing data to gauge product offerings, Consulting on the design and implementation of new production and data storage systems, Developing and implementing strategic tests of products, initiatives and marketing materials
Benefits
This role is also eligible to earn performance-based incentive compensation, which may include cash bonuses and/or long-term incentives (LTI).
Pay
Salaries for this role vary by location and can be found on the Capital One Careers website.
Schedule
This role is expected to accept applications for a minimum of 5 business days. No agencies please.